I am building a shiny app where I'd like to make a prediction on new data based on a model built in Python(scikit-learn). The model is saved as a pickle file. Is there some way of calling the model trained in Python and saved as a .pkl file in a Shiny application?
Couple of suggestions: you can use reticulate, or you can run your Python model as a service and use it through REST.
Thanks, can you point me to a resource on using the pkl model through reticulate?
I've never done something like this, but the good point to start is probably official documentation at https://rstudio.github.io/reticulate/
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